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Mathematical and computational oncol...
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Mathematical and computational oncology = third international symposium, ISMCO 2021, virtual event, October 11-13, 2021 : proceedings /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Mathematical and computational oncology/ edited by George Bebis ... [et al.].
其他題名:
third international symposium, ISMCO 2021, virtual event, October 11-13, 2021 : proceedings /
其他題名:
ISMCO 2021
其他作者:
Bebis, George.
團體作者:
ISMCO (Symposium)
出版者:
Cham :Springer International Publishing : : 2021.,
面頁冊數:
xxi, 79 p. :ill. (chiefly col.), digital ;24 cm.
內容註:
Statistical and Machine Learning Methods for Cancer Research Image Classification of Skin Cancer: Using Deep Learning as a Tool for Skin Self-Examinations -- Predictive Signatures for Lung Adenocarcinoma Prognostic Trajectory by Omics Data Integration and Ensemble Learning -- The Role of Hydrophobicity in Peptide-MHC Binding -- Spatio-temporal tumor modeling and simulation Simulating cytotoxic T-lymphocyte & cancer cells interactions : An LSTM-based approach to surrogate an agent-based model -- General cancer computational biology Strategies to reduce long-term drug resistance by considering effects of differential selective treatments -- Mathematical Modeling for Cancer Research Improved Geometric Configuration for the Bladder Cancer BCG-based Immunotherapy Treatment Model -- Computational methods for anticancer drug development Run for your life - an integrated virtual tissue platform for incorporating exercise oncology into immunotherapy.
Contained By:
Springer Nature eBook
標題:
Oncology - Congresses. - Mathematical models -
電子資源:
https://doi.org/10.1007/978-3-030-91241-3
ISBN:
9783030912413
Mathematical and computational oncology = third international symposium, ISMCO 2021, virtual event, October 11-13, 2021 : proceedings /
Mathematical and computational oncology
third international symposium, ISMCO 2021, virtual event, October 11-13, 2021 : proceedings /[electronic resource] :ISMCO 2021edited by George Bebis ... [et al.]. - Cham :Springer International Publishing :2021. - xxi, 79 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in computer science,130600302-9743 ;. - Lecture notes in computer science ;13060..
Statistical and Machine Learning Methods for Cancer Research Image Classification of Skin Cancer: Using Deep Learning as a Tool for Skin Self-Examinations -- Predictive Signatures for Lung Adenocarcinoma Prognostic Trajectory by Omics Data Integration and Ensemble Learning -- The Role of Hydrophobicity in Peptide-MHC Binding -- Spatio-temporal tumor modeling and simulation Simulating cytotoxic T-lymphocyte & cancer cells interactions : An LSTM-based approach to surrogate an agent-based model -- General cancer computational biology Strategies to reduce long-term drug resistance by considering effects of differential selective treatments -- Mathematical Modeling for Cancer Research Improved Geometric Configuration for the Bladder Cancer BCG-based Immunotherapy Treatment Model -- Computational methods for anticancer drug development Run for your life - an integrated virtual tissue platform for incorporating exercise oncology into immunotherapy.
This book constitutes the refereed proceedings of the Third International Symposium on Mathematical and Computational Oncology, ISMCO 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 3 full papers and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections named: statistical and machine learning methods for cancer research; mathematical modeling for cancer research; spatio-temporal tumor modeling and simulation; general cancer computational biology; mathematical modeling for cancer research; computational methods for anticancer drug development.
ISBN: 9783030912413
Standard No.: 10.1007/978-3-030-91241-3doiSubjects--Topical Terms:
3528704
Oncology
--Mathematical models--Congresses.
LC Class. No.: RC254.5 / .I76 2021
Dewey Class. No.: 616.9940015118
Mathematical and computational oncology = third international symposium, ISMCO 2021, virtual event, October 11-13, 2021 : proceedings /
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This book constitutes the refereed proceedings of the Third International Symposium on Mathematical and Computational Oncology, ISMCO 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 3 full papers and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections named: statistical and machine learning methods for cancer research; mathematical modeling for cancer research; spatio-temporal tumor modeling and simulation; general cancer computational biology; mathematical modeling for cancer research; computational methods for anticancer drug development.
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